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Junior Data Engineer Remote Jobs in Austin, TX (NOW HIRING)

YO AI Labs

AI Agent Evaluation Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

Full Stack Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

AI/ML Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Cisco

Senior Software Engineer (Remote)

Austin, TX · Remote

$121K - $160K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable ...

Huckberry

Jr. AI Process Engineer

Austin, TX · Remote

... to a remote hire. Responsibilities * Partner with our VP of Technology, Operations, Logistics ... and data extraction * Enhance integrations between internal systems with generative AI tooling

MWResource, Inc.

Power System Engineer

Taylor, TX · Remote

$42.30 - $59.15/hr

Power System Engineer REMOTE - CANDIDATE MUST LIVE AND WORK FROM THE UNITED STATES Taylor, TX ... Identifies process improvements for interconnection study workflows, data management, and ...

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Junior Data Engineer Remote information

See Austin, TX salary details

$33.2K

$71.2K

$108.5K

How much do junior data engineer remote jobs pay per year?

As of Sep 7, 2026, the average yearly pay for junior data engineer remote in Austin, TX is $71,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $79,300.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

Junior Data Engineers (Remote) are entry-level professionals who assist in designing, building, and maintaining data pipelines and databases, typically while working from a remote location. They handle tasks like data cleaning, processing, and integration, usually under the supervision of senior data engineers or data architects. Their work supports analytics, reporting, and data science efforts within an organization, and they often use tools such as SQL, Python, and cloud platforms. Remote roles require strong communication and collaboration skills, as well as the ability to work independently.

How does a junior data engineer typically collaborate with more experienced team members in a remote setting?

As a Junior Data Engineer working remotely, you'll often collaborate with senior engineers and data scientists through virtual meetings, code reviews, and shared documentation platforms. You'll likely participate in stand-up meetings, pair programming sessions, and receive feedback on your work via online tools like GitHub or Jira. This collaborative environment helps you learn best practices, troubleshoot issues, and contribute to projects, all while building your skills under the guidance of more experienced team members.

What are the key skills and qualifications needed to thrive as a junior data engineer, and why are they important?

To thrive as a Junior Data Engineer (Remote), you need a solid grasp of SQL, Python or other programming languages, and a relevant degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms like AWS or Azure, and ETL frameworks is typically expected. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in collaborative, distributed teams. These competencies are crucial for building reliable data pipelines and ensuring seamless data flow in a remote work environment.

What are the most commonly searched types of Data Engineer Remote jobs in Austin, TX?

The most popular types of Data Engineer Remote jobs in Austin, TX are:

What are popular job titles related to Junior Data Engineer Remote jobs in Austin, TX?

For Junior Data Engineer Remote jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineer Remote jobs in Austin, TX look for?

The top searched job categories for Junior Data Engineer Remote jobs in Austin, TX are:

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Junior Data Engineer Remote jobs near you

AI Agent Evaluation Engineer - Remote

YO AI Labs

Austin, TX • Remote

$80 - $120/hr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.